Level

AstraZeneca

Insights Manager

AI in this role

Insights Manager delivering analytical approaches and AI-enabled insights for pharmaceutical commercial strategy.

databrickspower-bisqlveevaiqvia
data-analysispredictive-analyticsmachine-learninggenerative-aicommercial-analytics

Insights manager - Mumbai


About AstraZeneca:

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies.


Introduction to role:

Are you eager to convert sophisticated commercial, market and customer data into decisions that accelerate business growth and improve patient outcomes you see yourself crafting how leaders plan, handle and adapt by delivering enhanced analytical approaches and AI-enabled insight to the heart of strategy?

Based in Mumbai, you will be a strategic partner to Business Unit, Marketing and Sales leaders. You will connect the dots across customer acquisition, client relationship management, online interaction, and market data. Your goal is to deliver clear and actionable recommendations to improve planning, execution, and growth. Your work will power smarter decisions at pace, scaling from brand-level questions to enterprise impact.

You will join a globally connected team that grows with solving sophisticated problems with curiosity and rigor. From day one, you will apply advanced data analysis and digital solutions to improve our work processes. Your efforts will help the business run faster and more efficiently. Patients will remain at the center of every decision.


Accountabilities:

  • Strategic Business Partnership: Partner with senior leaders to frame priority questions, diagnose performance and identify growth opportunities; act as a trusted internal consultant who constructively challenges assumptions and enables evidence-based decisions.
  • Insight Generation and Commercial Performance: Analyze business benchmarks, brand performance, customer engagement, market dynamics and field-force important metrics; deliver deep-dive analyses, forecasts and scenario evaluations that advise strategy, planning and performance reviews.
  • Integrated Data Foundations: Integrate sales, CRM, digital engagement, Veeva and IQVIA data to create a well-rounded business view; strengthen data quality, governance, validation and documentation to increase confidence and adoption.
  • Build scalable Power BI dashboards, analytical applications, and self-service insight solutions. Use SQL and modern analytics tools to prepare, integrate, model, and analyze complex datasets. Develop high-value predictive analytics, machine-learning, and GenAI use cases for customer prioritisation, forecasting, and automated insight generation.
  • Automation and Reuse: Create reusable solutions and automate recurring workflows to free up time for higher-value insight and continuous improvement.
  • Collaborate with technology teams and vendors to develop analytical and AI solutions from concept to pilot and broad adoption. Provide collaborators with training, data storytelling, and feedback loops.
  • Commercial Excellence and Field-force Effectiveness: Lead analytics for profiling, segmentation, targeting and customer engagement planning; improve territory productivity, call planning, execution quality and resource deployment; develop performance scorecards and support monthly, quarterly and annual business reviews.
  • Broader Impact: Start by solving immediate commercial problems, then scale guidelines, assets and standards that uplift decision quality and speed across the organization.

Essential Skills/Experience:

  • Master's degree or MBA with equivalent experience in Business Analytics, Data Science, Statistics, Management or a related field.
  • Advanced proficiency in Power BI, SQL, Excel and PowerPoint.
  • Strong commercial competence, structured problem-solving, data storytelling and customer management.
  • Ability to translate ambiguous needs into analytical approaches, solutions and recommendations.

Desirable Skills/Experience:

  • 6-10 years of proven experience in business insights, analytics, commercial excellence, data science or consulting.
  • Hands-on experience in data modelling, dashboards, statistical analysis and business intelligence.
  • 2-3 years of pharmaceutical, healthcare or life-sciences experience.
  • Solid understanding of Python or R, with exposure to AI/ML, GenAI and predictive analytics.
  • Experience developing analytical applications, automation solutions or AI-enabled business tools.
  • Exposure to Azure, Databricks, Snowflake or comparable cloud analytics platforms.
  • Experience with Veeva, IQVIA, CRM and commercial analytics ecosystems.
  • Relevant certification related to Power BI, data science, AI/ML or cloud analytics.

Why AstraZeneca:

Here, your expertise fuels real-world impact. You will work with modern analytics and AI in a community that captures unexpected teams in one room. The aim is to encourage high-reaching thinking while remaining committed to doing what is right for patients. We move with urgency and patience, pairing ambition with support so you can stretch your skills, learn from a diverse global network and see your ideas adopted at scale. As part of a high-trust, highly collaborative environment, you will have the autonomy to challenge the norm, take smart risks and build solutions that power every function to run faster, more efficiently and with greater purpose.


Why AstraZeneca?

At AstraZeneca, we 're dedicated to being a phenomenal Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.


So, what’s next?

  • Are you already inspiring yourself joining our team? Good, because we can’t wait to hear from you.
  • Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours.

Where can I find out more?

Our social media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Date Posted

29-Sept-2026

Closing Date

09-Oct-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

How we rate this

Insights Manager at AstraZeneca rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalysisPredictive AnalyticsMachine LearningGenerative AICommercial AnalyticsDatabricksPower BiSQL

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where predictive analytics was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where commercial analytics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Predictive Analytics, Machine Learning, Generative AI, and Commercial Analytics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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